🔗 Live Repo: github.com/Matt-Solo/siem-tryhackme-lab
This project demonstrates a Security Operations Center (SOC) investigation involving detection and analysis of suspicious authentication activity using SIEM tools.
The objective was to identify potential brute-force attack behaviour, analyse security logs, correlate events, and recommend appropriate response actions.
- SIEM Platforms: Splunk / ELK
- Data Source: Windows Event Logs
- Log Types: Authentication Events (Event ID 4625 & 4624)
- Identified abnormal spikes in failed login attempts
- Observed repeated authentication failures within a short timeframe
- Filtered logs using Event ID 4625 (failed logins)
- Identified a pattern of repeated login attempts from a single IP address
- Correlated failed login attempts with successful login events (Event ID 4624)
- Determined potential account compromise behaviour
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Mapped observed activity to:
- MITRE ATT&CK: T1110 (Brute Force Attack)
- High volume of failed login attempts detected
- Repeated login attempts from a single source IP
- Successful login following multiple failed attempts
- Indicators consistent with brute-force attack activity
- Risk of unauthorized access
- Potential account compromise
- Exposure of sensitive systems and data
- Enforce account lockout policies
- Block or monitor suspicious IP address
- Enable Multi-Factor Authentication (MFA)
- Implement continuous monitoring for similar activity
- SIEM alert triage and investigation
- Log analysis and event correlation
- Threat detection and analysis
- MITRE ATT&CK mapping
- Incident documentation and reporting
📸 Investigation Evidence (https://github.com/Matt-Solo/siem-tryhackme-lab)
Screenshots included in this repository demonstrate:
- SIEM queries and log filtering
- Failed login patterns
- Event correlation analysis
This project demonstrates the ability to detect, analyse, and respond to security incidents using SIEM tools and structured SOC workflows, reflecting real-world Tier 1 SOC analyst responsibilities.
✅ Lab Completed on TryHackMe
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